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Vocabulary of natural language processing

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Concept information

... > NLP methods and tools > artificial intelligence > machine learning > machine learning model > neural networks model > graph neural network

Terme préférentiel

graph neural network  

Définition

  • A type of neural network designed to operate on data that can be represented as graphs.

Concept générique

Synonyme(s)

  • GNN

Exemple

  • Ding et al. (2019) extract entities from current context via entity-linking and turn them into a cognitive graph and a graph neural network is applied on top of it to extract answer. (Hu, Xu, Yu, Wang, Yang, Zhu, Chang & Sun, 2022)
  • We apply our proposed FLAN Graphs constructed based on domain knowledge to various cost-effective graph neural networks (GNNs) for comprehensively modeling both the semantics of the text and dependency relationships within the claims. (Gao, Yao, Zhao, He, Kumar, Krishnan & Shang, 2024)

Traductions

URI

http://data.loterre.fr/ark:/67375/8LP-HG7FR71L-4

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